docs: def custom_tokenizer(self) -> spacyTokenizer:
          """
          Custom tokenizer
          For future improvement, look at https://spacy.io/api/tokenizer, https://github.com/explosion/spaCy/issues/1494
          """
          prefix_re = re.compile(r'''^[\[()\-.,@#$%^&*?|<~+_:;>!"']''')
          infix_re = re.compile(r'''[\[()\-,@#$%^&*?|<~+_:;>!"']|(?<![0-9])\.|\.(?![0-9])|\n+ ''')
          return spacyTokenizer(self.nlp.vocab, rules=None, prefix_search=prefix_re.search, suffix_search=None,
                                infix_finditer=infix_re.finditer, token_match=None)